Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5050
Single Precision Score
1720
Half Precision Score
6387
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | November 21 2024 03:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2801
520.9 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.7 IPS |
|
|
Image Classification (Q)
|
99% |
4753
886.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4413
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12396
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5357
6.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
37976
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
3198
253.7 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
88% |
2481
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
5565
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
5649
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12147
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2422
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11645
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28255
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13369
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30564
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2447
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5372
198.9 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1772
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2436
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2988
66.6 IPS |
